iPhone18,2
Geekbench AI Score
5156
Single Precision Score
8375
Half Precision Score
6525
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
3702
688.4 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10718
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19078
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16320
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
97% |
4106
326.8 IPS |
|
|
Object Detection (Q)
|
94% |
2813
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4373
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14116
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9835
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24183
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37704
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30890
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9451
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9324
161.1 IPS |
